The distribution of cloud cover over Lake Malawi/Niassa/Nyasa and its watershed
Bibliographic record
Abstract
This study addresses four aspects of cloud cover over Lake Malawi and its watershed, and it is a contribution to the Management Strategy for the long-term conservation of the biodiversity of Lake Malawi as it involves production of maps showing variations of the appropriate parameter under study. The first aspect of this study refers to the temporal variation of cloud cover, the second to the spatial distribution, and the third to the frequency of low, middle and high clouds. The last aspect refers to the variation of solar radiation with cloud cover. Diurnal variation of cloud cover was evaluated with ground observations. Seasonal variation was derived from NOAA-14 AVHRR daytime imagery. Diurnally, cloud cover decreases over the lake while it increases over the watershed. Both the lake and the watershed presented a longitudinal gradient of cloud cover. Low clouds and middle clouds are frequent all year. Correlation between cloud cover and solar radiation was made for two months, July and January. (Abstractshortened by UMI.)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".